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Identification

Personal identification

Full name
MÓNICA LEIRIA DE MENDONÇA MIRANDA DA SILVA

Citation names

  • Mónica Leiria de Mendonça

Author identifiers

Ciência ID
3C1F-0EC2-601F
ORCID iD
0000-0001-8144-1630
AuthenticusID
8361
Google Scholar ID
BsP6W40AAAAJ

Knowledge fields

  • Engineering and Technology - Medical Engineering
  • Exact Sciences - Computer and Information Sciences - Bioinformatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Elementary (A2) Intermediate (B1) Beginner (A1) Intermediate (B1) Beginner (A1)
Italian Beginner (A1) Intermediate (B1) Beginner (A1) Intermediate (B1) Beginner (A1)
French Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Outputs

Publications

Preprint
  1. Mendonça, Mónica Leiria de; Coletti, Roberta; Gonçalves, Céline S.; Martins, Eduarda P.; Costa, Bruno M.; Vinga, Susana; Lopes, Marta B.. "Updating TCGA glioma classification through integration of molecular profiling data following the 2016 and 2021 WHO guidelines". 2023. http://europepmc.org/abstract/PPR/PPR619169.
    10.1101/2023.02.19.529134
  2. Coletti, Roberta; Mendonça, Mónica Leiria de; Vinga, Susana; Lopes, Marta B.. "Inferring diagnostic and prognostic gene expression signatures across WHO glioma classifications: A network-based approach". 2023. https://arxiv.org/abs/2305.12207.
    10.48550/ARXIV.2305.12207
Thesis / Dissertation
  1. Silva, Mónica Leiria de Mendonça Miranda da. "Prostate cancer biochemical recurrence prediction using bpMRI radiomics, clinical and histopathological data". Master, Fundação Champalimaud, 2021. http://hdl.handle.net/10451/48711.
Distinctions

Other distinction

2016 Finalista - ScienceIN2Business Competition
Tec Labs - Centro de Inovação, Portugal
2009 Finalista Nacional - Olimpíadas de Química (Ensino Secundário)
Sociedade Portuguesa de Química, Portugal